Many studies emphasise the potential for widespread job displacement from exposure to AI. Fewer studies examine the actual impact on job creation as well as displacement, skills demand, and the quality of jobs. Since AI may have multiple positive and negative consequences, it is important to know what drives outcomes, and what factors moderate its impact. Drawing upon theories of technology adoption, we present an empirical study of factors influencing decision maker perceptions of AI, which we hypothesize mediate organization and environmental factors and adoption. We theorize two moderators for the impact of AI on net job creation, skills demand, and job quality. First, Regional Innovation Readiness reflects the availability of enabling resources in the local environment, in the form of an educated workforce and the connectivity infrastructure. Second, High Involvement HRM is an investment orientation which includes employees in the process of adoption. We test our hypotheses using primary data collected from 1012 organizations across all sectors of the UK economy. We find both Regional Innovation Readiness and High Involvement HRM play a significant role in influencing positive and negative outcomes from AI adoption. We discuss the significant implications for policymakers as well as managers.